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Text Zoning Facilitates the Jobseeking Process

March 25, 2010
by admin

JobStreet.com, making use of an RM1.6 million research grant bestowed by the Multimedia Development Corporation (MDec), has developed and patented a method to facilitate text zoning in a semi-structured text
In a fast-moving environment marked by constant, relentless innovation, it is essential for an online recruitment organisation to stay ahead of the competition. This is exactly what JobStreet.com has done with its text zoning technology. JobStreet.com, making use of an RM1.6 million research grant bestowed by the Multimedia Development Corporation (MDec), has developed and patented a method to facilitate text zoning in a semi-structured text.
In other words, this system has been developed to effectively extract specific information from a resume.
Text zoning is a method used to divide the information in a resume into sections and zones, with each one describing a particular category of information such as education, personal particulars and work experience. Sub-sections or sub-zones are used to describe separate events that have occurred within the course of a jobseeker's employment history, for instance different working stints in different companies.
This method, as opposed to manual hard-coding work, involves a degree of intuitive learning by the system. Its learning algorithms are capable of setting certain rules that can perform zoning and sub-zoning routines efficiently. In other words, this is a system that can use any given set of examples , learn from them and build zoning rules based on the examples.
The text zoning patent, which was granted to JobStreet.com in Dec 2009, will be of substantial benefit to both jobseekers and employers alike, and will actively enhance and hasten the process of candidate selection.